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Foundations of Deep Learning PDF

30 Pages·2019·English
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by ['Nelson Ubaldo Quispe M']| 2019| 30 pages| English

About Foundations of Deep Learning

The document provides definitions and explanations of key concepts in deep learning including representation learning, deep learning, traditional vs representation learning pipelines, multilayer perceptrons, activation functions, forward propagation, optimization using gradient descent, empirical risk minimization, stochastic gradient descent, loss functions, and computing gradients using backpropagation. It explains how deep learning models learn representations from raw data in an end-to-end manner through multiple levels of nonlinear transformations.

Detailed Information

Author:['Nelson Ubaldo Quispe M']
Publication Year:2019
Pages:30
Language:English
Format:PDF
Price:FREE
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